Biomarker Discovery Research Articles & Analysis
9 articles found
Alfa Cytology has announced cancer diagnostic biomarker development services to enhance precision in oncology research. ...
“Researchers have access to multiple experimental models to meet their constantly changing needs. ...
After obtaining the protein sequencing results, various analyses can be performed. These analyses help to reveal the function, structure, interactions and roles of the protein in the organism. The commonly used types of analysis mainly include:1. Sequence AlignmentAlign with known protein sequences to identify homologous proteins, which helps to infer protein function and evolutionary ...
Protein Target Quantification aims to accurately measure the abundance of specific proteins in biological samples. It has the advantages of high throughput, accuracy, and reproducibility. Using early data from differential proteomics/transcriptomics/genomics analysis, this method has validated biomarkers in large biological sample sizes. Targeted quantification selectively collects and analyses ...
DIA technology has a wide range of applications in biomedical research, disease biomarker discovery, and drug development.DIA Proteomics SequencingDIA technology systematically scans the entire mass range during mass spectrometry analysis, rather than analyzing only a few preselected ions. ...
Imagine a world where diseases like cancer, Alzheimer's, and Parkinson's could be diagnosed and treated at the molecular level, long before symptoms even appear. This is the promise of fluorescent biopolymers, a revolutionary new class of materials that could transform the field of biomedical research. What Are Fluorescent Biopolymers? At their core, biopolymers are simply long chains of ...
ByMatexcel
After completing her PhD, Dr. Reid accepted a postdoctoral research position at a leading medical institution, where she continued her work in the field of sickle cell disease. She quickly established herself as a leader in the field, conducting important research and contributing to a deeper understanding of the biology of this condition. ...
Therefore, the help of lncRNA-Seq data is required in the discovery, characterization and analysis of lncRNAs and functions. RNA-Seq is not dependent on reference genome annotations or sequences and can accurately detect expression levels over a wide dynamic range, which is a very important and effective means to characterize and quantify non-coding RNAs (ncRNAs). ...
RNA, not only an essential part of the central dogma, is certainly a relatively untapped resource for biomarker discovery of various diseases. Cumulating data shows that RNA molecules, including mRNAs, lncRNAs, miRNAs, siRNAs, piRNAs, snoRNAs, and snRNAs, are more sensitive and specific than protein biomarkers since they are easy to detect and ...